Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography

Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography

Abstract A validated open-source deep-learning algorithm called Sybil can accurately predict long-term lung cancer risk from a single low-dose chest computed tomography (LDCT). However, Sybil was trained on a majority-male cohort. Use of artificial intelligence algorithms trained on imbalanced cohor...

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Bibliographic Details
Main Authors: Judit Simon, Peter Mikhael, Ismail Tahir, Alexander Graur, Stefan Ringer, Amanda Fata, Yang Chi-Fu Jeffrey, Jo-Anne Shepard, Francine Jacobson, Regina Barzilay, Lecia V. Sequist, Lydia E. Pace, Florian J. Fintelmann
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-45671-6

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https://doi.org/10.1038/s41598-023-45671-6

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